Senior R&D Engineer LLM, REMOTE

• Strong experience in generative or agentic AI and deep learning, including hands-on work with AI model development
• Proficiency in programming languages such as Python, C++, or Java/Kotlin for building AI solutions
• Practical experience with Large Language Models (LLMs) and/or Vision-Language Models (VLMs) and their real-world applications
• Hands-on knowledge of frameworks and tools such as LangChain, LangGraph, RAG, or other agentic AI frameworks
• Experience working with cloud platforms such as GCP, AWS, or Azure for developing and deploying AI solutions
• Solid understanding of software development processes, collaboration models, and deployment practices
• Strong analytical thinking and problem-solving skills, with the ability to translate complex topics into business value
• Effective communication skills in English (at least upper-intermediate level), including presenting and consulting
• Knowledge of prompting techniques (e.g., Chain-of-Thought, Tree-of-Thought) to enhance model performance (as a plus)
• Experience with backend frameworks such as FastAPI and building scalable APIs (as a plus)

About the role

In this role, you will design and deliver advanced agentic AI solutions that address complex, real-world challenges across multiple domains. Working within R&D, you will contribute to applied research, prototyping, and innovation initiatives, shaping new directions and demonstrating their value through practical implementations.

,[Design and develop agentic AI solutions, applying deep learning and modern AI techniques to solve complex business and research challenges, Drive innovation by researching and applying emerging technologies, adapting solutions to market needs and evolving trends, Prototype and develop advanced technical demos, translating research concepts into practical, scalable solutions, Collaborate with cross-functional teams and stakeholders to align technical direction with business and research goals, Present solutions and research outcomes at conferences, meetups, and industry events, strengthening external visibility, Consult internal and external stakeholders on AI technologies, guiding solution design and strategic decisions, Support business development activities, including presales, marketing assets, and technical presentations, Contribute to partnerships with technology and academic organizations to expand research and innovation capabilities] Requirements: AI, Deep learning, Python, C++, Java, Kotlin, Cloud platform, GCP, AWS, Azure, Communication skills, FastAPI Additionally: Sport subscription, Training budget, Private healthcare, International projects, Flat structure, Small teams, Free coffee, Canteen, Bike parking, Free snacks, Free parking, In-house trainings, Modern office, No dress code.